Peters, Brett J.

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Joel, S., Eastwick, P. W., Allison, C. J., Arriaga, X. B., Baker, Z. G., Bar-Kalifa, E., Bergeron, S., Birnbaum, G. E., Brock, R. L., Brumbaugh, C. C., et al. (2020) · Proceedings of the National Academy of Sciences

Attachment and Relationship DynamicsFamily Dynamics and Relationships

Cited by 315

Reappraising Stress Arousal Improves Performance and Reduces Evaluation Anxiety in Classroom Exam Situations

Jamieson, J. P., Peters, B. J., Greenwood, E. J., & Altose, A. J. (2016) · Social Psychological and Personality Science

Student Stress and CopingEducation, Achievement, and Giftedness

Cited by 241

Physiological synchrony in supportive discussions: An examination of co‐rumination, relationship type, and heterogeneity

DiGiovanni, A. M., Peters, B. J., Tudder, A., Gresham, A. M., & Bolger, N. (2024) · Psychophysiology

Attachment and Relationship DynamicsHeart Rate Variability and Autonomic Control

Cited by 9

Behavioral variability in physiological synchrony during future-based conversations between romantic partners.

Shimshock, C. J., Thorson, K. R., Peters, B. J., & Jamieson, J. P. (2025) · Emotion

Attachment and Relationship DynamicsAction Observation and Synchronization

Cited by 5